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  1. models/.DS_Store +0 -0
  2. models/checkpoint-best-aver.7327/optimizer.pt +3 -0
  3. models/checkpoint-best-aver.7327/pytorch_model.bin +3 -0
  4. models/checkpoint-best-aver.7327/scheduler.pt +3 -0
  5. models/checkpoint-best-aver.7327/training_0.bin +3 -0
  6. models/checkpoint-best-aver.7327/training_10.bin +3 -0
  7. models/checkpoint-best-aver.7327/training_11.bin +3 -0
  8. models/checkpoint-best-aver.7327/training_13.bin +3 -0
  9. models/checkpoint-best-aver.7327/training_15.bin +3 -0
  10. models/checkpoint-best-aver.7327/training_17.bin +3 -0
  11. models/checkpoint-best-aver.7327/training_2.bin +3 -0
  12. models/checkpoint-best-aver.7327/training_3.bin +3 -0
  13. models/checkpoint-best-aver.7327/training_4.bin +3 -0
  14. models/checkpoint-best-aver.7327/training_8.bin +3 -0
  15. models/checkpoint-best-aver.7327/training_9.bin +3 -0
  16. models/checkpoint-best-aver.7333/optimizer.pt +3 -0
  17. models/checkpoint-best-aver.7333/pytorch_model.bin +3 -0
  18. models/checkpoint-best-aver.7333/scheduler.pt +3 -0
  19. models/checkpoint-best-aver.7333/training_0.bin +3 -0
  20. models/checkpoint-best-aver.7333/training_1.bin +3 -0
  21. models/checkpoint-last.7327/idx_file.txt +1 -0
  22. models/checkpoint-last.7327/optimizer.pt +3 -0
  23. models/checkpoint-last.7327/pytorch_model.bin +3 -0
  24. models/checkpoint-last.7327/scheduler.pt +3 -0
  25. models/checkpoint-last.7327/step_file.txt +1 -0
  26. models/checkpoint-last.7333/idx_file.txt +1 -0
  27. models/checkpoint-last.7333/optimizer.pt +3 -0
  28. models/checkpoint-last.7333/pytorch_model.bin +3 -0
  29. models/checkpoint-last.7333/scheduler.pt +3 -0
  30. models/checkpoint-last.7333/step_file.txt +1 -0
  31. models/predictions_7327_test_lo.json_.txt +1 -0
  32. models/predictions_7327_test_th.json_.txt +1 -0
models/.DS_Store ADDED
Binary file (8.2 kB). View file
 
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+ Final test acc = 0.9817454363590897 Final test precision = 0.977689638076351 Final test recall = 0.986 Final test f1 = 0.9818272342544188 Final test acc_and_f1 = 0.9817863353067542 Final test eval_loss = 0.09164558351039886
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+ Final test acc = 0.9467366841710427 Final test precision = 0.9584402257567983 Final test recall = 0.934 Final test f1 = 0.9460622942517093 Final test acc_and_f1 = 0.9463994892113761 Final test eval_loss = 0.43210530281066895